The Electricity-growth Nexus in South Africa: Evidence from Asymmetric Cointegration and Co-feature Analysis

Abstract views: 98 / PDF downloads: 116


  • Bothwell Nyoni Department of Applied Chemistry, Faculty of Applied Sciences, National University of Science and Technology
  • Andrew Phiri Department of Economics, Faculty of Business and Economic Studies, Nelson Mandela Metropolitan University


This study undertakes an examination of asymmetric adjustment effects between electricity consumption and economic growth in South Africa using quarterly data collected from 1983Q1 to 2016:Q4. In our study, we employ a momentum-threshold cointegration method to examine the long-run equilibrium relationship between electricity consumption and economic growth. Our empirical results reveal significant nonlinear cointegration behaviour between the time series variables with uni-directional causality running from electricity consumption to economic growth and no causal effects in the short run. This implies that energy authorities in South Africa should avoid implementing conservative electricity policies as this may hamper long-run economic growth. We further extend our empirical analysis by decomposing the time series into their trend and cyclical components and our estimations also depict stronger nonlinear behaviour among the detrended components with bi-directional causality existing between the variables in both the short and long-run. Generally, our study highlights that cointegration and causal effects between electricity usage and output growth is related with the business cycle. Therefore, ignoring the cyclical components of the variables could prove to be quite costly for South African policymakers.Keywords: Electricity consumption; Economic growth; Threshold co-integration; Nonlinear granger causality; South Africa.JEL Classifications: C32, C51, Q43.DOI:


Download data is not yet available.




How to Cite

Nyoni, B., & Phiri, A. (2018). The Electricity-growth Nexus in South Africa: Evidence from Asymmetric Cointegration and Co-feature Analysis. International Journal of Energy Economics and Policy, 8(6), 80–88. Retrieved from